Market snapshot: Oct 13, 2026, 12:00 AM UTC. Prices may have changed since this snapshot.

GroupPOLYMARKET

Event GroupPOLYMARKETSports

SC Freiburg vs. FC Bayern München - First Team to Score

Name: SC Freiburg vs. FC Bayern München - First Team to Score
End: 2026-10-25T16:30:00.000Z

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SC Freiburg vs. FC Bayern München - First Team to Score

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3 markets tracked

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FC Bayern München to score first vs. SC Freiburg?

No data available

Single-Platform Markets(3)

Market	Platform	Price
FC Bayern München to score first vs. SC Freiburg?	Poly	51%
SC Freiburg to score first vs. FC Bayern München?	Poly	49%
SC Freiburg vs. FC Bayern München: Neither team to score first?	Poly	48%

AI Analysis

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51%

Top Probability

$0.00

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About This Event

In the upcoming match between SC Freiburg and FC Bayern München, scheduled for October 25, 2026 at 12:30 PM ET: This market will resolve to "SC Freiburg" if SC Freiburg are the first to score within the first 90 minutes of regular play plus stoppage time. This market will resolve to "FC Bayern München" if FC Bayern München are the first to score within the first 90 minutes of regular play plus stoppage time. If neither team scores within the first 90 minutes of regular play plus stoppage time, t

AI-generated analysis based on market data. Not financial advice.

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**Role:** Expert Prediction Market Analyst & Trader
**Objective:** Analyze the provided betting market data to deliver actionable insights, identify mispricings, and perform scenario analysis.
**Current Date:** Tuesday, October 13, 2026
**Context:** Prediction markets (Polymarket/Kalshi) are binary option markets where price (1-99) equals implied probability (1%-99%).

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## 1. Event Snapshot
**Event:** SC Freiburg vs. FC Bayern München - First Team to Score
**Category:** Sports | **Status:** active
**Resolution Date:** Oct 25, 2026 (13 days left)
**Time Pressure:** Medium

**Description:** In the upcoming match between SC Freiburg and FC Bayern München, scheduled for October 25, 2026 at 12:30 PM ET: This market will resolve to "SC Freiburg" if SC Freiburg are the first to score within the first 90 minutes of regular play plus stoppage time. This market will resolve to "FC Bayern München" if FC Bayern München are the first to score within the first 90 minutes of regular play plus stoppage time. If neither team scores within the first 90 minutes of regular play plus stoppage time, t

**Resolution Criteria (Sample):**
"In the upcoming match between SC Freiburg and FC Bayern München, scheduled for October 25, 2026 at 12:30 PM ET: This market will resolve to "SC Freiburg" if SC Freiburg are the first to score within the first 90 minutes of regular play plus stoppage time. This market will resolve to "FC Bayern Münch"

## 2. Market liquidity & Volume
* **Total Volume:** $0
* **Total Liquidity:** $70
* **Activity Level:** Low Activity (Vol/Liq Ratio: 0.00)

## 3. Market Data (Prices & Odds)
### 1. SC Freiburg to score first vs. FC Bayern München?
- **Polymarket** (End: Oct 25, 2026): Vol $0
  DATA: [Yes: 48.5% (0.0%)] | [No: 51.5% (0.0%)]

### 2. FC Bayern München to score first vs. SC Freiburg?
- **Polymarket** (End: Oct 25, 2026): Vol $0
  DATA: [Yes: 51.0% (0.0%)] | [No: 49.0% (0.0%)]

### 3. SC Freiburg vs. FC Bayern München: Neither team to score first?
- **Polymarket** (End: Oct 25, 2026): Vol $0
  DATA: [Yes: 47.5% (0.0%)] | [No: 52.5% (0.0%)]

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## Analysis Instructions
Please provide a structured analysis using the following template:

### 1. Executive Summary
*   **Verdict:** [Most Likely Outcome]
*   **Confidence:** [0-100]%
*   **Timeframe:** [Immediate / Short-term / Long-term]
*   **Actionable Trade:** [Buy YES / Buy NO / Stay Away] (Include entry price target if applicable)
*   **Rationale:** 2-sentence summary of the core thesis.

### 2. Scenario Analysis
*   **Bull Case (Why YES goes up):** List specific catalysts or data points.
*   **Bear Case (Why YES goes down):** List specifics.
*   **Invalidation Point:** What happens to prove your thesis wrong?

### 3. Market Mechanics & Risks
*   **Liquidity/Volume Analysis:** Is the market efficient? Is it easy to exit?
*   **Cross-Platform Arbitrage:** (If applicable) Is the spread tradeable after fees?
*   **Time Decay:** How does time passing affect this position?

### 4. Signal Scores (0-100)
*   **Momentum:** [Score] (Price trend & velocity)
*   **Conviction:** [Score] (Volume backing the move)
*   **Information Edge:** [Score] (Likelihood of non-public info affecting price)
*   **Risk/Reward:** [Score] (Potential upside vs downside)

**Constraints:**
- Be direct and objective.
- Use bullet points for readability.
- If data is conflicting or insufficient, explicitly state "Low Confidence".

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AI-written background. References identify the evidence used; Wikipedia links under Learn More are additional reading. Prices and provider rules are dated snapshots. This is not financial advice.

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